Abstract: A method and apparatus for identifying a confusion of neighboring pseudo numbers (PN) are provided. The method includes: obtaining a first location information when a mobile station establishes a call with a reference base station where a reference sector is located, and a second location information after establishing a handover in a process of the call, with a neighboring base station where a valid non-reference sector is located; and when a deviation between the first location information and the second location information is larger than a threshold and the mobile station drops the call after establishing the handover, determining that the confusion of the neighboring PNs exists in the neighboring base station. The method and apparatus are able to fast identify the confusion of the neighboring PNs in the existing CDMA network, and achieve the object of optimizing the network quality and improving the product competitiveness.

Abstract: A method and apparatus for identifying a confusion of neighboring pseudo numbers (PN) are provided. The method includes: obtaining a first location information when a mobile station establishes a call with a reference base station where a reference sector is located, and a second location information after establishing a handover in a process of said call, with a neighboring base station where a valid non-reference sector is located; and when a deviation between said first location information and said second location information is larger than a threshold and said mobile station drops the call after establishing the handover, determining that the confusion of the neighboring PNs exists in said neighboring base station. The present invention is able to fast identify the confusion of the neighboring PNs in the existing CDMA network, and achieve the object of optimizing the network quality and improving the product competitiveness.

Abstract: A method for reducing noise in an image sequence includes: detecting structures in an image sequence; estimating lighting changes in the image sequence and compensating for the estimated lighting changes; detecting moving structures in the image sequence using the detected structures after compensating for the estimated lighting changes in the image sequence; and adaptively filtering imaging noise in the image sequence.